regenerate models

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_epoch.py

@@ -15,9 +15,9 @@ from pydantic import (
     ValidationInfo,
     BeforeValidator,
 )
-from numpydantic import NDArray, Shape
 from ...hdmf_common.v1_1_0.hdmf_common_table import DynamicTable, VectorIndex, VectorData
 from ...core.v2_2_0.core_nwb_base import TimeSeries
+from numpydantic import NDArray, Shape
 
 metamodel_version = "None"
 version = "2.2.0"
@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
             "linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
         },
     )
-    idx_start: Optional[int] = Field(
+    idx_start: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: Optional[int] = Field(
+    count: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Number of data samples available in this time series, during this epoch.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: Optional[TimeSeries] = Field(
+    timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
-        None, description="""the TimeSeries that this index applies to."""
+        None,
+        description="""the TimeSeries that this index applies to.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
     description: str = Field(..., description="""Description of what these vectors represent.""")
 

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_icephys.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_ophys.py

@@ -70,7 +70,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_retinotopy.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_epoch.py

@@ -15,9 +15,9 @@ from pydantic import (
     ValidationInfo,
     BeforeValidator,
 )
-from numpydantic import NDArray, Shape
 from ...hdmf_common.v1_1_2.hdmf_common_table import DynamicTable, VectorIndex, VectorData
 from ...core.v2_2_1.core_nwb_base import TimeSeries
+from numpydantic import NDArray, Shape
 
 metamodel_version = "None"
 version = "2.2.1"
@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
             "linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
         },
     )
-    idx_start: Optional[int] = Field(
+    idx_start: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: Optional[int] = Field(
+    count: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Number of data samples available in this time series, during this epoch.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: Optional[TimeSeries] = Field(
+    timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
-        None, description="""the TimeSeries that this index applies to."""
+        None,
+        description="""the TimeSeries that this index applies to.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
     description: str = Field(..., description="""Description of what these vectors represent.""")
 

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_icephys.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_ophys.py

@@ -70,7 +70,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_retinotopy.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_epoch.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
             "linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
         },
     )
-    idx_start: Optional[int] = Field(
+    idx_start: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: Optional[int] = Field(
+    count: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Number of data samples available in this time series, during this epoch.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: Optional[TimeSeries] = Field(
+    timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
-        None, description="""the TimeSeries that this index applies to."""
+        None,
+        description="""the TimeSeries that this index applies to.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_icephys.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_ophys.py

@@ -70,7 +70,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_epoch.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
             "linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
         },
     )
-    idx_start: Optional[int] = Field(
+    idx_start: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: Optional[int] = Field(
+    count: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Number of data samples available in this time series, during this epoch.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: Optional[TimeSeries] = Field(
+    timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
-        None, description="""the TimeSeries that this index applies to."""
+        None,
+        description="""the TimeSeries that this index applies to.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_icephys.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_ophys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -410,9 +410,21 @@ class PlaneSegmentationPixelMask(VectorData):
             "linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
+        None,
-    weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
+        description="""Pixel x-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Pixel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the pixel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[
@@ -437,10 +449,26 @@ class PlaneSegmentationVoxelMask(VectorData):
             "linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
+        None,
-    z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
+        description="""Voxel x-coordinate.""",
-    weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel z-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the voxel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_epoch.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
             "linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
         },
     )
-    idx_start: Optional[int] = Field(
+    idx_start: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: Optional[int] = Field(
+    count: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Number of data samples available in this time series, during this epoch.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: Optional[TimeSeries] = Field(
+    timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
-        None, description="""the TimeSeries that this index applies to."""
+        None,
+        description="""the TimeSeries that this index applies to.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_icephys.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_ophys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -412,9 +412,21 @@ class PlaneSegmentationPixelMask(VectorData):
             "linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
+        None,
-    weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
+        description="""Pixel x-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Pixel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the pixel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[
@@ -439,10 +451,26 @@ class PlaneSegmentationVoxelMask(VectorData):
             "linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
+        None,
-    z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
+        description="""Voxel x-coordinate.""",
-    weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel z-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the voxel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_epoch.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -178,16 +178,20 @@ class TimeIntervalsTimeseries(VectorData):
             "linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
         },
     )
-    idx_start: Optional[int] = Field(
+    idx_start: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: Optional[int] = Field(
+    count: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Number of data samples available in this time series, during this epoch.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: Optional[TimeSeries] = Field(
+    timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
-        None, description="""the TimeSeries that this index applies to."""
+        None,
+        description="""the TimeSeries that this index applies to.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_icephys.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_ophys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -418,9 +418,21 @@ class PlaneSegmentationPixelMask(VectorData):
             "linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
+        None,
-    weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
+        description="""Pixel x-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Pixel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the pixel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[
@@ -445,10 +457,26 @@ class PlaneSegmentationVoxelMask(VectorData):
             "linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
+        None,
-    z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
+        description="""Voxel x-coordinate.""",
-    weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel z-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the voxel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_base.py

@@ -90,15 +90,21 @@ class TimeSeriesReferenceVectorData(VectorData):
     name: str = Field(
         "timeseries", json_schema_extra={"linkml_meta": {"ifabsent": "string(timeseries)"}}
     )
-    idx_start: int = Field(
+    idx_start: NDArray[Shape["*"], int] = Field(
         ...,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: int = Field(
+    count: NDArray[Shape["*"], int] = Field(
         ...,
         description="""Number of data samples available in this time series, during this epoch""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    timeseries: NDArray[Shape["*"], TimeSeries] = Field(
+        ...,
+        description="""The TimeSeries that this index applies to""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: TimeSeries = Field(..., description="""The TimeSeries that this index applies to""")
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_epoch.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -178,16 +178,20 @@ class TimeIntervalsTimeseries(VectorData):
             "linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
         },
     )
-    idx_start: Optional[int] = Field(
+    idx_start: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: Optional[int] = Field(
+    count: Optional[NDArray[Shape["*"], int]] = Field(
         None,
         description="""Number of data samples available in this time series, during this epoch.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: Optional[TimeSeries] = Field(
+    timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
-        None, description="""the TimeSeries that this index applies to."""
+        None,
+        description="""the TimeSeries that this index applies to.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_icephys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_ophys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -418,9 +418,21 @@ class PlaneSegmentationPixelMask(VectorData):
             "linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
+        None,
-    weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
+        description="""Pixel x-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Pixel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the pixel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[
@@ -445,10 +457,26 @@ class PlaneSegmentationVoxelMask(VectorData):
             "linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
+        None,
-    z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
+        description="""Voxel x-coordinate.""",
-    weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel z-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the voxel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_base.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -114,15 +114,21 @@ class TimeSeriesReferenceVectorData(VectorData):
     name: str = Field(
         "timeseries", json_schema_extra={"linkml_meta": {"ifabsent": "string(timeseries)"}}
     )
-    idx_start: int = Field(
+    idx_start: NDArray[Shape["*"], int] = Field(
         ...,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: int = Field(
+    count: NDArray[Shape["*"], int] = Field(
         ...,
         description="""Number of data samples available in this time series, during this epoch""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    timeseries: NDArray[Shape["*"], TimeSeries] = Field(
+        ...,
+        description="""The TimeSeries that this index applies to""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: TimeSeries = Field(..., description="""The TimeSeries that this index applies to""")
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_epoch.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_icephys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_ophys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -418,9 +418,21 @@ class PlaneSegmentationPixelMask(VectorData):
             "linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
+        None,
-    weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
+        description="""Pixel x-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Pixel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the pixel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[
@@ -445,10 +457,26 @@ class PlaneSegmentationVoxelMask(VectorData):
             "linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
+        None,
-    z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
+        description="""Voxel x-coordinate.""",
-    weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel z-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the voxel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_base.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -114,15 +114,21 @@ class TimeSeriesReferenceVectorData(VectorData):
     name: str = Field(
         "timeseries", json_schema_extra={"linkml_meta": {"ifabsent": "string(timeseries)"}}
     )
-    idx_start: int = Field(
+    idx_start: NDArray[Shape["*"], int] = Field(
         ...,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: int = Field(
+    count: NDArray[Shape["*"], int] = Field(
         ...,
         description="""Number of data samples available in this time series, during this epoch""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    timeseries: NDArray[Shape["*"], TimeSeries] = Field(
+        ...,
+        description="""The TimeSeries that this index applies to""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: TimeSeries = Field(..., description="""The TimeSeries that this index applies to""")
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_epoch.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_icephys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_ophys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -517,9 +517,21 @@ class PlaneSegmentationPixelMask(VectorData):
             "linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
+        None,
-    weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
+        description="""Pixel x-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Pixel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the pixel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[
@@ -544,10 +556,26 @@ class PlaneSegmentationVoxelMask(VectorData):
             "linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
+        None,
-    z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
+        description="""Voxel x-coordinate.""",
-    weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel z-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the voxel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_base.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -114,15 +114,21 @@ class TimeSeriesReferenceVectorData(VectorData):
     name: str = Field(
         "timeseries", json_schema_extra={"linkml_meta": {"ifabsent": "string(timeseries)"}}
     )
-    idx_start: int = Field(
+    idx_start: NDArray[Shape["*"], int] = Field(
         ...,
         description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    count: int = Field(
+    count: NDArray[Shape["*"], int] = Field(
         ...,
         description="""Number of data samples available in this time series, during this epoch""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    timeseries: NDArray[Shape["*"], TimeSeries] = Field(
+        ...,
+        description="""The TimeSeries that this index applies to""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    timeseries: TimeSeries = Field(..., description="""The TimeSeries that this index applies to""")
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_ecephys.py

@@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
             "linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
         },
     )
-    x: Optional[float] = Field(None, description="""x coordinate""")
+    x: Optional[NDArray[Shape["*"], float]] = Field(
-    y: Optional[float] = Field(None, description="""y coordinate""")
+        None,
-    z: Optional[float] = Field(None, description="""z coordinate""")
+        description="""x coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""y coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""z coordinate""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
 
 
 class ClusterWaveforms(NWBDataInterface):

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_epoch.py

@@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_icephys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_misc.py

@@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name

nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_ophys.py

@@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
 
 def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
     """Get the name of the slot that refers to this object"""
-    assert isinstance(item, (BaseModel, dict))
+    assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
     name = info.field_name
     if isinstance(item, BaseModel):
         item.name = name
@@ -517,9 +517,21 @@ class PlaneSegmentationPixelMask(VectorData):
             "linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
+        None,
-    weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
+        description="""Pixel x-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Pixel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the pixel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[
@@ -544,10 +556,26 @@ class PlaneSegmentationVoxelMask(VectorData):
             "linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
         },
     )
-    x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
+    x: Optional[NDArray[Shape["*"], int]] = Field(
-    y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
+        None,
-    z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
+        description="""Voxel x-coordinate.""",
-    weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    y: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel y-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    z: Optional[NDArray[Shape["*"], int]] = Field(
+        None,
+        description="""Voxel z-coordinate.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    weight: Optional[NDArray[Shape["*"], float]] = Field(
+        None,
+        description="""Weight of the voxel.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
     description: str = Field(..., description="""Description of what these vectors represent.""")
     value: Optional[
         Union[

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_1_0/hdmf_common_table.py

@@ -414,7 +414,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_1_2/hdmf_common_table.py

@@ -414,7 +414,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_1_3/hdmf_common_table.py

@@ -414,7 +414,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_2_0/hdmf_common_table.py

@@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_2_1/hdmf_common_table.py

@@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_3_0/hdmf_common_resources.py

@@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
 from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
 import numpy as np
 from ...hdmf_common.v1_3_0.hdmf_common_base import Container, Data
+from numpydantic import NDArray, Shape
 
 metamodel_version = "None"
 version = "1.3.0"
@@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
         return key in self.root
 
 
+NUMPYDANTIC_VERSION = "1.2.1"
 linkml_meta = LinkMLMeta(
     {
         "annotations": {
@@ -96,9 +98,10 @@ class ExternalResourcesKeys(Data):
         "keys",
         json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
     )
-    key_name: str = Field(
+    key_name: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The user term that maps to one or more resources in the 'resources' table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -115,17 +118,25 @@ class ExternalResourcesResources(Data):
             "linkml_meta": {"equals_string": "resources", "ifabsent": "string(resources)"}
         },
     )
-    keytable_idx: int = Field(..., description="""The index to the key in the 'keys' table.""")
+    keytable_idx: NDArray[Shape["*"], int] = Field(
-    resource_name: str = Field(
+        ...,
+        description="""The index to the key in the 'keys' table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    resource_name: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The name of the online resource (e.g., website, database) that has the entity.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    resource_id: str = Field(
+    resource_id: NDArray[Shape["*"], str] = Field(
-        ..., description="""The unique identifier for the resource entity at the resource."""
+        ...,
+        description="""The unique identifier for the resource entity at the resource.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    uri: str = Field(
+    uri: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The URI for the resource entity this reference applies to. This can be an empty string.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -142,10 +153,15 @@ class ExternalResourcesObjects(Data):
             "linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
         },
     )
-    object_id: str = Field(..., description="""The UUID for the object.""")
+    object_id: NDArray[Shape["*"], str] = Field(
-    field: str = Field(
+        ...,
+        description="""The UUID for the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    field: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The field of the object. This can be an empty string if the object is a dataset and the field is the dataset values.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -162,10 +178,16 @@ class ExternalResourcesObjectKeys(Data):
             "linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
         },
     )
-    objecttable_idx: int = Field(
+    objecttable_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The index to the 'objects' table for the object that holds the key."""
+        ...,
+        description="""The index to the 'objects' table for the object that holds the key.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    keytable_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The index to the 'keys' table for the key.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    keytable_idx: int = Field(..., description="""The index to the 'keys' table for the key.""")
 
 
 # Model rebuild

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_3_0/hdmf_common_table.py

@@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_4_0/hdmf_common_table.py

@@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_5_0/hdmf_common_table.py

@@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_5_1/hdmf_common_table.py

@@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_6_0/hdmf_common_table.py

@@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_7_0/hdmf_common_table.py

@@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_8_0/hdmf_common_table.py

@@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
         return model
 
     @model_validator(mode="after")
-    def cast_extra_columns(self):
+    def cast_extra_columns(self) -> "DynamicTableMixin":
         """
         If extra columns are passed as just lists or arrays, cast to VectorData
         before we resolve targets for VectorData and VectorIndex pairs.

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_1_0/hdmf_experimental_resources.py

@@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
 from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
 import numpy as np
 from ...hdmf_common.v1_4_0.hdmf_common_base import Container, Data
+from numpydantic import NDArray, Shape
 
 metamodel_version = "None"
 version = "0.1.0"
@@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
         return key in self.root
 
 
+NUMPYDANTIC_VERSION = "1.2.1"
 linkml_meta = LinkMLMeta(
     {
         "annotations": {
@@ -99,9 +101,10 @@ class ExternalResourcesKeys(Data):
         "keys",
         json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
     )
-    key: str = Field(
+    key: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The user term that maps to one or more resources in the 'resources' table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -118,12 +121,25 @@ class ExternalResourcesEntities(Data):
             "linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
         },
     )
-    keys_idx: int = Field(..., description="""The index to the key in the 'keys' table.""")
+    keys_idx: NDArray[Shape["*"], int] = Field(
-    resources_idx: int = Field(..., description="""The index into the 'resources' table""")
+        ...,
-    entity_id: str = Field(..., description="""The unique identifier entity.""")
+        description="""The index to the key in the 'keys' table.""",
-    entity_uri: str = Field(
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    resources_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The index into the 'resources' table""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    entity_id: NDArray[Shape["*"], str] = Field(
+        ...,
+        description="""The unique identifier entity.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    entity_uri: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The URI for the entity this reference applies to. This can be an empty string.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -140,9 +156,15 @@ class ExternalResourcesResources(Data):
             "linkml_meta": {"equals_string": "resources", "ifabsent": "string(resources)"}
         },
     )
-    resource: str = Field(..., description="""The name of the resource.""")
+    resource: NDArray[Shape["*"], str] = Field(
-    resource_uri: str = Field(
+        ...,
-        ..., description="""The URI for the resource. This can be an empty string."""
+        description="""The name of the resource.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    resource_uri: NDArray[Shape["*"], str] = Field(
+        ...,
+        description="""The URI for the resource. This can be an empty string.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -159,10 +181,15 @@ class ExternalResourcesObjects(Data):
             "linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
         },
     )
-    object_id: str = Field(..., description="""The UUID for the object.""")
+    object_id: NDArray[Shape["*"], str] = Field(
-    field: str = Field(
+        ...,
+        description="""The UUID for the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    field: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The field of the object. This can be an empty string if the object is a dataset and the field is the dataset values.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -179,10 +206,16 @@ class ExternalResourcesObjectKeys(Data):
             "linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
         },
     )
-    objects_idx: int = Field(
+    objects_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The index to the 'objects' table for the object that holds the key."""
+        ...,
+        description="""The index to the 'objects' table for the object that holds the key.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    keys_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The index to the 'keys' table for the key.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    keys_idx: int = Field(..., description="""The index to the 'keys' table for the key.""")
 
 
 # Model rebuild

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_2_0/hdmf_experimental_resources.py

@@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
 from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
 import numpy as np
 from ...hdmf_common.v1_5_1.hdmf_common_base import Container, Data
+from numpydantic import NDArray, Shape
 
 metamodel_version = "None"
 version = "0.2.0"
@@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
         return key in self.root
 
 
+NUMPYDANTIC_VERSION = "1.2.1"
 linkml_meta = LinkMLMeta(
     {
         "annotations": {
@@ -99,9 +101,10 @@ class ExternalResourcesKeys(Data):
         "keys",
         json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
     )
-    key: str = Field(
+    key: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The user term that maps to one or more resources in the 'resources' table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -118,12 +121,25 @@ class ExternalResourcesEntities(Data):
             "linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
         },
     )
-    keys_idx: int = Field(..., description="""The index to the key in the 'keys' table.""")
+    keys_idx: NDArray[Shape["*"], int] = Field(
-    resources_idx: int = Field(..., description="""The index into the 'resources' table""")
+        ...,
-    entity_id: str = Field(..., description="""The unique identifier entity.""")
+        description="""The index to the key in the 'keys' table.""",
-    entity_uri: str = Field(
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    resources_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The index into the 'resources' table""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    entity_id: NDArray[Shape["*"], str] = Field(
+        ...,
+        description="""The unique identifier entity.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    entity_uri: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The URI for the entity this reference applies to. This can be an empty string.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -140,9 +156,15 @@ class ExternalResourcesResources(Data):
             "linkml_meta": {"equals_string": "resources", "ifabsent": "string(resources)"}
         },
     )
-    resource: str = Field(..., description="""The name of the resource.""")
+    resource: NDArray[Shape["*"], str] = Field(
-    resource_uri: str = Field(
+        ...,
-        ..., description="""The URI for the resource. This can be an empty string."""
+        description="""The name of the resource.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    resource_uri: NDArray[Shape["*"], str] = Field(
+        ...,
+        description="""The URI for the resource. This can be an empty string.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -159,14 +181,20 @@ class ExternalResourcesObjects(Data):
             "linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
         },
     )
-    object_id: str = Field(..., description="""The UUID for the object.""")
+    object_id: NDArray[Shape["*"], str] = Field(
-    relative_path: str = Field(
+        ...,
+        description="""The UUID for the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    relative_path: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The relative path from the container with the object_id to the dataset or attribute with the value(s) that is associated with an external resource. This can be an empty string if the container is a dataset which contains the value(s) that is associated with an external resource.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    field: str = Field(
+    field: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The field of the compound data type using an external resource. This is used only if the dataset or attribute is a compound data type; otherwise this should be an empty string.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -183,10 +211,16 @@ class ExternalResourcesObjectKeys(Data):
             "linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
         },
     )
-    objects_idx: int = Field(
+    objects_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The index to the 'objects' table for the object that holds the key."""
+        ...,
+        description="""The index to the 'objects' table for the object that holds the key.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    keys_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The index to the 'keys' table for the key.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    keys_idx: int = Field(..., description="""The index to the 'keys' table for the key.""")
 
 
 # Model rebuild

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_3_0/hdmf_experimental_resources.py

@@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
 from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
 import numpy as np
 from ...hdmf_common.v1_6_0.hdmf_common_base import Container, Data
+from numpydantic import NDArray, Shape
 
 metamodel_version = "None"
 version = "0.3.0"
@@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
         return key in self.root
 
 
+NUMPYDANTIC_VERSION = "1.2.1"
 linkml_meta = LinkMLMeta(
     {
         "annotations": {
@@ -99,9 +101,10 @@ class ExternalResourcesKeys(Data):
         "keys",
         json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
     )
-    key: str = Field(
+    key: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The user term that maps to one or more resources in the `resources` table, e.g., \"human\".""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -116,9 +119,10 @@ class ExternalResourcesFiles(Data):
         "files",
         json_schema_extra={"linkml_meta": {"equals_string": "files", "ifabsent": "string(files)"}},
     )
-    file_object_id: str = Field(
+    file_object_id: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The object id (UUID) of a file that contains objects that refers to external resources.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -135,14 +139,20 @@ class ExternalResourcesEntities(Data):
             "linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
         },
     )
-    keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
+    keys_idx: NDArray[Shape["*"], int] = Field(
-    entity_id: str = Field(
+        ...,
+        description="""The row index to the key in the `keys` table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    entity_id: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The compact uniform resource identifier (CURIE) of the entity, in the form [prefix]:[unique local identifier], e.g., 'NCBI_TAXON:9606'.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    entity_uri: str = Field(
+    entity_uri: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The URI for the entity this reference applies to. This can be an empty string. e.g., https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=info&id=9606""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -159,18 +169,30 @@ class ExternalResourcesObjects(Data):
             "linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
         },
     )
-    files_idx: int = Field(
+    files_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The row index to the file in the `files` table containing the object."""
+        ...,
+        description="""The row index to the file in the `files` table containing the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    object_id: str = Field(..., description="""The object id (UUID) of the object.""")
+    object_id: NDArray[Shape["*"], str] = Field(
-    object_type: str = Field(..., description="""The data type of the object.""")
+        ...,
-    relative_path: str = Field(
+        description="""The object id (UUID) of the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    object_type: NDArray[Shape["*"], str] = Field(
+        ...,
+        description="""The data type of the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    relative_path: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The relative path from the data object with the `object_id` to the dataset or attribute with the value(s) that is associated with an external resource. This can be an empty string if the object is a dataset that contains the value(s) that is associated with an external resource.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    field: str = Field(
+    field: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The field within the compound data type using an external resource. This is used only if the dataset or attribute is a compound data type; otherwise this should be an empty string.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -187,10 +209,16 @@ class ExternalResourcesObjectKeys(Data):
             "linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
         },
     )
-    objects_idx: int = Field(
+    objects_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The row index to the object in the `objects` table that holds the key"""
+        ...,
+        description="""The row index to the object in the `objects` table that holds the key""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    keys_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The row index to the key in the `keys` table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
 
 
 # Model rebuild

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_4_0/hdmf_experimental_resources.py

@@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
 from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
 import numpy as np
 from ...hdmf_common.v1_7_0.hdmf_common_base import Container, Data
+from numpydantic import NDArray, Shape
 
 metamodel_version = "None"
 version = "0.4.0"
@@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
         return key in self.root
 
 
+NUMPYDANTIC_VERSION = "1.2.1"
 linkml_meta = LinkMLMeta(
     {
         "annotations": {
@@ -102,9 +104,10 @@ class ExternalResourcesKeys(Data):
         "keys",
         json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
     )
-    key: str = Field(
+    key: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The user term that maps to one or more resources in the `resources` table, e.g., \"human\".""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -119,9 +122,10 @@ class ExternalResourcesFiles(Data):
         "files",
         json_schema_extra={"linkml_meta": {"equals_string": "files", "ifabsent": "string(files)"}},
     )
-    file_object_id: str = Field(
+    file_object_id: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The object id (UUID) of a file that contains objects that refers to external resources.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -138,13 +142,15 @@ class ExternalResourcesEntities(Data):
             "linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
         },
     )
-    entity_id: str = Field(
+    entity_id: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The compact uniform resource identifier (CURIE) of the entity, in the form [prefix]:[unique local identifier], e.g., 'NCBI_TAXON:9606'.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    entity_uri: str = Field(
+    entity_uri: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The URI for the entity this reference applies to. This can be an empty string. e.g., https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=info&id=9606""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -161,18 +167,30 @@ class ExternalResourcesObjects(Data):
             "linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
         },
     )
-    files_idx: int = Field(
+    files_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The row index to the file in the `files` table containing the object."""
+        ...,
+        description="""The row index to the file in the `files` table containing the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    object_id: str = Field(..., description="""The object id (UUID) of the object.""")
+    object_id: NDArray[Shape["*"], str] = Field(
-    object_type: str = Field(..., description="""The data type of the object.""")
+        ...,
-    relative_path: str = Field(
+        description="""The object id (UUID) of the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    object_type: NDArray[Shape["*"], str] = Field(
+        ...,
+        description="""The data type of the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    relative_path: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The relative path from the data object with the `object_id` to the dataset or attribute with the value(s) that is associated with an external resource. This can be an empty string if the object is a dataset that contains the value(s) that is associated with an external resource.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    field: str = Field(
+    field: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The field within the compound data type using an external resource. This is used only if the dataset or attribute is a compound data type; otherwise this should be an empty string.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -189,10 +207,16 @@ class ExternalResourcesObjectKeys(Data):
             "linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
         },
     )
-    objects_idx: int = Field(
+    objects_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The row index to the object in the `objects` table that holds the key"""
+        ...,
+        description="""The row index to the object in the `objects` table that holds the key""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    keys_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The row index to the key in the `keys` table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
 
 
 class ExternalResourcesEntityKeys(Data):
@@ -208,10 +232,16 @@ class ExternalResourcesEntityKeys(Data):
             "linkml_meta": {"equals_string": "entity_keys", "ifabsent": "string(entity_keys)"}
         },
     )
-    entities_idx: int = Field(
+    entities_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The row index to the entity in the `entities` table."""
+        ...,
+        description="""The row index to the entity in the `entities` table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    keys_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The row index to the key in the `keys` table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
 
 
 # Model rebuild

nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_5_0/hdmf_experimental_resources.py

@@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
 from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
 import numpy as np
 from ...hdmf_common.v1_8_0.hdmf_common_base import Container, Data
+from numpydantic import NDArray, Shape
 
 metamodel_version = "None"
 version = "0.5.0"
@@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
         return key in self.root
 
 
+NUMPYDANTIC_VERSION = "1.2.1"
 linkml_meta = LinkMLMeta(
     {
         "annotations": {
@@ -102,9 +104,10 @@ class HERDKeys(Data):
         "keys",
         json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
     )
-    key: str = Field(
+    key: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The user term that maps to one or more resources in the `resources` table, e.g., \"human\".""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -119,9 +122,10 @@ class HERDFiles(Data):
         "files",
         json_schema_extra={"linkml_meta": {"equals_string": "files", "ifabsent": "string(files)"}},
     )
-    file_object_id: str = Field(
+    file_object_id: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The object id (UUID) of a file that contains objects that refers to external resources.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -138,13 +142,15 @@ class HERDEntities(Data):
             "linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
         },
     )
-    entity_id: str = Field(
+    entity_id: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The compact uniform resource identifier (CURIE) of the entity, in the form [prefix]:[unique local identifier], e.g., 'NCBI_TAXON:9606'.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    entity_uri: str = Field(
+    entity_uri: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The URI for the entity this reference applies to. This can be an empty string. e.g., https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=info&id=9606""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -161,18 +167,30 @@ class HERDObjects(Data):
             "linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
         },
     )
-    files_idx: int = Field(
+    files_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The row index to the file in the `files` table containing the object."""
+        ...,
+        description="""The row index to the file in the `files` table containing the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    object_id: str = Field(..., description="""The object id (UUID) of the object.""")
+    object_id: NDArray[Shape["*"], str] = Field(
-    object_type: str = Field(..., description="""The data type of the object.""")
+        ...,
-    relative_path: str = Field(
+        description="""The object id (UUID) of the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    object_type: NDArray[Shape["*"], str] = Field(
+        ...,
+        description="""The data type of the object.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    relative_path: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The relative path from the data object with the `object_id` to the dataset or attribute with the value(s) that is associated with an external resource. This can be an empty string if the object is a dataset that contains the value(s) that is associated with an external resource.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    field: str = Field(
+    field: NDArray[Shape["*"], str] = Field(
         ...,
         description="""The field within the compound data type using an external resource. This is used only if the dataset or attribute is a compound data type; otherwise this should be an empty string.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
 
 
@@ -189,10 +207,16 @@ class HERDObjectKeys(Data):
             "linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
         },
     )
-    objects_idx: int = Field(
+    objects_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The row index to the object in the `objects` table that holds the key"""
+        ...,
+        description="""The row index to the object in the `objects` table that holds the key""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    keys_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The row index to the key in the `keys` table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
 
 
 class HERDEntityKeys(Data):
@@ -208,10 +232,16 @@ class HERDEntityKeys(Data):
             "linkml_meta": {"equals_string": "entity_keys", "ifabsent": "string(entity_keys)"}
         },
     )
-    entities_idx: int = Field(
+    entities_idx: NDArray[Shape["*"], int] = Field(
-        ..., description="""The row index to the entity in the `entities` table."""
+        ...,
+        description="""The row index to the entity in the `entities` table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
+    )
+    keys_idx: NDArray[Shape["*"], int] = Field(
+        ...,
+        description="""The row index to the key in the `keys` table.""",
+        json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
     )
-    keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
 
 
 # Model rebuild

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_0/core.nwb.ecephys.yaml

@@ -334,18 +334,24 @@ classes:
       x:
         name: x
         description: x coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       y:
         name: y
         description: y coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       z:
         name: z
         description: z coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_0/core.nwb.epoch.yaml

@@ -100,6 +100,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
@@ -107,12 +109,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
       timeseries:
         name: timeseries
         description: the TimeSeries that this index applies to.
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_1/core.nwb.ecephys.yaml

@@ -334,18 +334,24 @@ classes:
       x:
         name: x
         description: x coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       y:
         name: y
         description: y coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       z:
         name: z
         description: z coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_1/core.nwb.epoch.yaml

@@ -100,6 +100,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
@@ -107,12 +109,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
       timeseries:
         name: timeseries
         description: the TimeSeries that this index applies to.
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_2/core.nwb.ecephys.yaml

@@ -334,18 +334,24 @@ classes:
       x:
         name: x
         description: x coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       y:
         name: y
         description: y coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       z:
         name: z
         description: z coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_2/core.nwb.epoch.yaml

@@ -100,6 +100,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
@@ -107,12 +109,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
       timeseries:
         name: timeseries
         description: the TimeSeries that this index applies to.
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_4/core.nwb.ecephys.yaml

@@ -334,18 +334,24 @@ classes:
       x:
         name: x
         description: x coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       y:
         name: y
         description: y coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       z:
         name: z
         description: z coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_4/core.nwb.epoch.yaml

@@ -100,6 +100,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
@@ -107,12 +109,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
       timeseries:
         name: timeseries
         description: the TimeSeries that this index applies to.
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_4/core.nwb.ophys.yaml

@@ -258,18 +258,24 @@ classes:
       x:
         name: x
         description: Pixel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Pixel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the pixel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
@@ -289,24 +295,32 @@ classes:
       x:
         name: x
         description: Voxel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Voxel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       z:
         name: z
         description: Voxel z-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the voxel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_5/core.nwb.ecephys.yaml

@@ -334,18 +334,24 @@ classes:
       x:
         name: x
         description: x coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       y:
         name: y
         description: y coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       z:
         name: z
         description: z coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_5/core.nwb.epoch.yaml

@@ -100,6 +100,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
@@ -107,12 +109,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
       timeseries:
         name: timeseries
         description: the TimeSeries that this index applies to.
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_5/core.nwb.ophys.yaml

@@ -258,18 +258,24 @@ classes:
       x:
         name: x
         description: Pixel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Pixel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the pixel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
@@ -289,24 +295,32 @@ classes:
       x:
         name: x
         description: Voxel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Voxel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       z:
         name: z
         description: Voxel z-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the voxel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_3_0/core.nwb.ecephys.yaml

@@ -345,18 +345,24 @@ classes:
       x:
         name: x
         description: x coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       y:
         name: y
         description: y coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       z:
         name: z
         description: z coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_3_0/core.nwb.epoch.yaml

@@ -100,6 +100,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
@@ -107,12 +109,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
       timeseries:
         name: timeseries
         description: the TimeSeries that this index applies to.
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_3_0/core.nwb.ophys.yaml

@@ -258,18 +258,24 @@ classes:
       x:
         name: x
         description: Pixel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Pixel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the pixel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
@@ -289,24 +295,32 @@ classes:
       x:
         name: x
         description: Voxel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Voxel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       z:
         name: z
         description: Voxel z-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the voxel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_4_0/core.nwb.base.yaml

@@ -41,6 +41,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: true
         multivalued: false
@@ -48,12 +50,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: true
         multivalued: false
       timeseries:
         name: timeseries
         description: The TimeSeries that this index applies to
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: true
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_4_0/core.nwb.ecephys.yaml

@@ -345,18 +345,24 @@ classes:
       x:
         name: x
         description: x coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       y:
         name: y
         description: y coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       z:
         name: z
         description: z coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_4_0/core.nwb.epoch.yaml

@@ -100,6 +100,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
@@ -107,12 +109,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: false
         multivalued: false
       timeseries:
         name: timeseries
         description: the TimeSeries that this index applies to.
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_4_0/core.nwb.ophys.yaml

@@ -258,18 +258,24 @@ classes:
       x:
         name: x
         description: Pixel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Pixel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the pixel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
@@ -289,24 +295,32 @@ classes:
       x:
         name: x
         description: Voxel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Voxel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       z:
         name: z
         description: Voxel z-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the voxel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_5_0/core.nwb.base.yaml

@@ -41,6 +41,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: true
         multivalued: false
@@ -48,12 +50,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: true
         multivalued: false
       timeseries:
         name: timeseries
         description: The TimeSeries that this index applies to
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: true
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_5_0/core.nwb.ecephys.yaml

@@ -345,18 +345,24 @@ classes:
       x:
         name: x
         description: x coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       y:
         name: y
         description: y coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       z:
         name: z
         description: z coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_5_0/core.nwb.ophys.yaml

@@ -258,18 +258,24 @@ classes:
       x:
         name: x
         description: Pixel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Pixel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the pixel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
@@ -289,24 +295,32 @@ classes:
       x:
         name: x
         description: Voxel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Voxel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       z:
         name: z
         description: Voxel z-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the voxel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_6_0_alpha/core.nwb.base.yaml

@@ -41,6 +41,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: true
         multivalued: false
@@ -48,12 +50,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: true
         multivalued: false
       timeseries:
         name: timeseries
         description: The TimeSeries that this index applies to
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: true
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_6_0_alpha/core.nwb.ecephys.yaml

@@ -345,18 +345,24 @@ classes:
       x:
         name: x
         description: x coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       y:
         name: y
         description: y coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
       z:
         name: z
         description: z coordinate
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_6_0_alpha/core.nwb.ophys.yaml

@@ -311,18 +311,24 @@ classes:
       x:
         name: x
         description: Pixel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Pixel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the pixel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false
@@ -342,24 +348,32 @@ classes:
       x:
         name: x
         description: Voxel x-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       y:
         name: y
         description: Voxel y-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       z:
         name: z
         description: Voxel z-coordinate.
+        array:
+          exact_number_dimensions: 1
         range: uint32
         required: false
         multivalued: false
       weight:
         name: weight
         description: Weight of the voxel.
+        array:
+          exact_number_dimensions: 1
         range: float32
         required: false
         multivalued: false

nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_7_0/core.nwb.base.yaml

@@ -41,6 +41,8 @@ classes:
         description: Start index into the TimeSeries 'data' and 'timestamp' datasets
           of the referenced TimeSeries. The first dimension of those arrays is always
           time.
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: true
         multivalued: false
@@ -48,12 +50,16 @@ classes:
         name: count
         description: Number of data samples available in this time series, during
           this epoch
+        array:
+          exact_number_dimensions: 1
         range: int32
         required: true
         multivalued: false
       timeseries:
         name: timeseries
         description: The TimeSeries that this index applies to
+        array:
+          exact_number_dimensions: 1
         range: TimeSeries
         required: true
         multivalued: false